Data Anonymization
The process of removing or altering personally identifiable information from datasets so that individuals cannot be re-identified, while preserving the data's utility for AI training.
In plain language
Stripping all identifying details from data so no one can figure out who it belongs to. Like blacking out names, addresses and ID numbers before sharing a dataset with an AI team.
Why this matters
Data anonymisation is a foundational privacy control in AI governance and a key requirement under the Privacy Act. Your data governance policies must specify anonymisation standards for all AI training data and verify that anonymisation is effective against re-identification risks.
Relevance
GovernanceAnonymisation is essential for Privacy Act compliance and reduces the sensitivity of data your organisation uses for AI development, directly mitigating privacy risk.
Related terms
Putting data anonymization into practice in your organisation?
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